What's New in 7.0.RC2

Compared with MindStudio 7.0.RC1, MindStudio 7.0.RC2 has the following changes:

New Features

Document

New Feature

Operator Development Tools

  • The msProf tool supports multi-operator collection and memory heatmap.
  • The memory and contention detection capabilities of the msSanitizer tool are enhanced.

Analysis and Migration

The PyTorch GPU2Ascend tool supports PyTorch 2.2.0.

msModelSlim

  • The m4 and m5 algorithms are added for outlier suppression in foundation model quantization.
  • SD XL quantization is supported.
  • The W8A8 tuning mode is added for foundation model quantization.
  • The per_token, kv-cache, W4A16, and W4A16 per_group quantization capabilities for foundation model quantization are added.

Performance Tuning Tool

  • Memory information can be collected and parsed at the operator granularity in MindSpore scenarios..
  • Dynamic profiling is supported in the PyTorch scenario.
  • Customized dotting is supported in the PyTorch scenario.
  • Profiling supports operator attribute collection.

MindStudio Insight

  • Linux (glibc >= 2.27) is supported.
  • MindSpore memory data can be displayed.
  • Automatic analysis of profile data is supported and modification suggestions are provided.
  • Functions such as operator memory load and computing load display are added for operator-level tuning.

Removed Features

Document

Removed Feature

IDE User Guide

The TensorFlow GPU2Ascend function is deleted.